1. stream - data stream mining- A framework for data stream modeling and associated data mining tasks such as clustering and classification. Development of this package was supported in part by NSF IIS-0948893. Stream is now maintained on github at http://github.com/mhahsler/stream

7. shikken: interface to the shogun-toolbox- A wrapper to the shogun-toolbox, a large-scale machine learning library, which makes its functionality available to the R journeyman in an idiomatic manner.

8. Finding word alignment using IBM model 1- For a given Sentence-Aligned Parallel Corpus, this package aligns words in every sentence pair. Further, it builds a suggested dictionary of two languages based on given corpus.

10. TreeRank- TreeRank is a R-package for building tree-based ranking rules through the tree induction method proposed in Clémençon and Vayatis (2009). It also comprises a list of routines for reading or visualizing ranking trees.

14. RecordLinkage: Detecting duplicate data- The package Record Linkage provides stochastical and machine learning methods for detecting duplicates in data and a framework for evaluating these methods.

16. Sequence analysis for social scientists- TraMineR is intended for mining and visualizing sequences of states or events. Its primary aim is the analysis of longitudinal data in the social science field but many of its features may also apply to non temporal data such as text or DNA sequences.

18. ZooImage- ZooImage is a software (based on R and ImageJ) to analyze plankton samples, using image analysis and machine learning techniques. This is the old repository, please, look at https://github.com/SciViews/zooimage for latest version!

19. RDataMining - a package for data mining- A comprehensive R Package for Data Mining, with contributions from many R users.
If you have developed or will implement any data mining algorithms in R, please participate in this project to make your work available to R users worldwide.